As an MLOps Engineer, you'll focus on making machine learning models production-ready and reliable. This role is ideal for someone with a solid background in machine learning and DevOps practices.
A1L Digital is seeking an MLOps Engineer to join their team in Johannesburg's Southern Suburbs for a 6-month contract. This role is crucial for ensuring that machine learning models are operationalized effectively. You will work closely with machine learning engineers and big data engineers to transition models from development to production smoothly.
In your day-to-day work, you will be responsible for creating and maintaining robust MLOps pipelines. This involves monitoring the performance of machine learning models, ensuring they are retrained as needed, and aligning with enterprise standards. Your expertise in MLOps tools and model serving frameworks will be essential in making sure that the models are scalable and reliable.
The ideal candidate for this role should have at least 5 years of experience in machine learning engineering, DevOps, or MLOps roles. Hands-on experience with tools like MLflow, Kubeflow, or Azure ML is a must. You should be comfortable collaborating with various teams to ensure that the transition from development to production is seamless.
This position suits someone who is proactive, enjoys working in a collaborative environment, and has a strong technical background in machine learning and operations. If you are looking to make an impact in the network communications sector and have the required experience, this could be a great opportunity for you.
You'll be taken to the original listing on PNet to apply.